Director, Software Engineering
Listed on 2026-09-20
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Software Development
AI Engineer (Applied/Software), Software Architect, Software Engineer, Cloud Engineer - Software
Location
This is a hybrid remote/in-office role.
Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.
Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster.
A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.
The Medidata Platform unifies the entire trial lifecycle, from design to closeout, in a single AI-driven ecosystem. The Medidata Platform gives every team a single connected foundation. It simplifies work for sites while giving sponsors and CROs greater oversight and predictability, lowering development costs, accelerating enrollment, and improving the patient experience.
Who you areYou will report to the Senior Director of Software Engineering within the Platform team and collaborate with product, PMO and QA and your teams of engineers. You will build high quality products and tools relied upon by all internal engineering teams and customer-facing functions applications are built with a variety of technologies and hosted on AWS. As a Director, you'll be challenged both to develop new features in response to market demand and improve the performance and scalability of our applications to meet the growing user base, as well as define the technical vision for your areas of responsibility.
You will also lead the engineering organization through the adoption of AI-augmented workflows and Spec-Driven Development (SDD), ensuring that technical strategies maximize efficiency and innovation.
- You will lead multiple engineering teams spread globally
- Keep your team unified, motivated and connected to the our goals
- You will use your previous experience to help improve engineering processes
- Handle ambiguities and guide data-driven, collaborative decision-making
- You will lead your teams to turn the technical vision into reality by collaborating with architects and other teams
- Maintain good awareness of software engineering best practices
- Strategic Priority Balancing:
Establish and maintain a rigorous operational framework that balances competing engineering demands. Prioritize 60% of effort on high-value feature delivery, 30% on deliberate architectural modernization and technical debt reduction, and 10% on operational efficiency to ensure long-term scalability - AI-Augmented Engineering & Ways of Working
- Experience in driving organizational adoption of AI-augmented workflows, such as Spec-Driven Development (SDD)
- Ability to balance autonomous agentic systems with human oversight, ensuring quality and alignment with business goals
- Focus on data-driven decision-making, using metrics to measure AI ROI and productivity gains
- Strong change management skills to foster a culture of experimentation and continuous improvement in an AI-first environment
- Cloud-native architecture design with emphasis on scalability and reliability
- Technical vision development and…
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